Tibetan Jiu Chess Game Algorithm based on Expert Knowledge

Shiyao Wang, Qifei Wu
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Abstract

Tibetan Jiu Chess is a unique chess game with complex rules, which is suitable to be used as the object of computer games. The expert knowledge database is established through the field investigation in Lhasa, Tibet. Tibetan Jiu Chess game algorithm based on expert knowledge is proposed in this paper. The algorithm is generally divided into formation recognition module, game strategy module in layout stage and game strategy module in Battle Stage. Especially for the most important battle stage, the chess power of the algorithm has been greatly improved by combining the distilled expert knowledge and better strategies. The experiments were made between the human players and the proposed algorithm in the "Minshan Cup" Tibetan chess National Open held in Lhasa City, Tibet Province in 2021. The results show that the designed algorithm based on expert knowledge is with a higher winning rate than a one-duan grading human chess player.
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基于专家知识的藏九棋博弈算法
藏九棋是一种独特的棋类游戏,规则复杂,适合作为电脑游戏的对象。通过对西藏拉萨地区的实地调查,建立了专家知识库。提出了一种基于专家知识的藏九棋博弈算法。算法一般分为编队识别模块、布局阶段的博弈策略模块和战斗阶段的博弈策略模块。特别是在最重要的战斗阶段,通过将提炼出来的专家知识与更好的策略相结合,大大提高了算法的棋力。在2021年西藏拉萨市举行的“岷山杯”西藏象棋全国公开赛上,人类棋手与本文算法进行了实验。结果表明,所设计的基于专家知识的算法比人类棋手的一段级胜率更高。
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